IEEE

Multiparameter Full-Waveform Inversion for Velocity and Attenuation Reconstruction Using Nearly-Constant Q Models

Abstract: Precise modeling of the attenuation parameter Q is important to confirm the robust and diagnostic attenuation characteristics of seismic waveforms in oil and gas reservoirs. For this purpose ...
Frontiers

Dynamic reconfiguration of large-scale distribution networks using GNN-guided B&B

1 Quzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Quzhou, China 2 College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China Introduction: The ...
IEEE

Distinguishing Resting State From Motor Imagery Swallowing Using EEG and Deep Learning Models

Abstract: The primary aim of this study was to assess the classification performance of deep learning models in distinguishing between resting state and motor imagery swallowing, utilizing various ...
BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...